2010 NDT Training Course Schedule is available now!
WINS acquires state-of-the-art equipment for enhanced Guided Wave Inspection Services for Pipelines and Bridge Cables, November 2009.
WINS delivers Acoustic Emission Level III Training Course in Kuala Lumpur, Malaysia, October 5-9, 2009
WINS is awarded contract with U.S. Department of Energy for developing inspection technology for health monitoring of coal power plant components, August 2009
WINS presents a paper at NYC Bridge Conference titled "Structural health monitoring using wireless acoustic emission sensor network" in August, 2009
WINS is awarded contract with NSF for developing inspection technology for Steel Piles, July 2009
WINS presents "Acoustic emission input to inspection-based bridge maintenance" at the International Conference on Fracture & Fatigue in July, 2009
WINS is awarded Market Access Grant from Pennsylvania IBD to launch Joint Venture in India, May 2009
WINS are developing a flexible PVDF sensor for the inspection of above- and under- ground pipelines from a single sensor position. In dry pipe, the technology may be used to inspect up to 100 feet from a single sensor position. In product-filled pipe, it may be used to inspect up to 60 feet. The defect sensitivity to pipe wall loss could be as small as 10% reduction in cross-sectional area. The sensor may also be installed permanently.
Inspection Procedure
- An ultrasonic sensor is wrapped around the pipe OD.
- Long range ultrasonic data is acquired in the upstream direction up to maximum distance.
- Long range ultrasonic data is acquired in the downstream direction up to maximum distance.
- Inspection results are interpreted to providing client wall loss severity and location.
Data Interpretation
*WINS interpretation module is customized for interpretation of long range ultrasound inspection data. Upstream and downstream data may be viewed simultaneously.
*The software has a built-in GPS reporting function so that defects may be tagged with this important information.
*This is the only LRUT software in the market that exploits real-time artificial intelligence capabilities. It may be used to build your own pattern recognition classifiers using neural networks, minimum distance, etc. classifiers to distinguish between welds, wall loss, flanges, etc.
